Top Artificial Intelligence Jobs

Design and develop scalable AI capabilities, integrating ML models and APIs. Collaborate with teams to ensure solutions meet security and performance standards in cloud environments.

As an AI QA & Infrastructure Engineer, you'll design and execute test plans, maintain testing environments, track quality metrics, and improve QA processes for Aidaly's products.

Lead a team to develop AI and machine learning solutions, optimize systems for performance, and collaborate on AI-powered applications.

Develop and deploy AI models to improve healthcare processes, collaborating with engineers and clinical leaders to meet clinical needs.

Seeking a CTO/CoFounder with startup experience to develop an AI enterprise product and lead initial coding efforts as an individual contributor.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

The Senior Software Engineer - AI will develop and enhance software systems using AI models, and build machine learning pipelines while ensuring best practices in software engineering are implemented.

The Director, Product Management will lead the strategy and delivery of internal digital tools, enhancing productivity using AI and modern techniques. Responsibilities include overseeing the product lifecycle, collaborating with teams, and ensuring a user-centered approach.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.

As a Senior Full Stack Engineer, you will lead the design and implementation of scalable serverless backend services using Python and AWS technologies, focusing on AI integration and event-driven architecture, while also mentoring team members and enhancing development practices.

Lead the design and implementation of scalable backend services using Python and AWS technologies. Collaborate with teams, implement best practices, and mentor junior engineers while integrating AI tools into the development process.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The Senior Full Stack Engineer will lead the development of scalable backend services using Python and AWS Serverless, mentor team members, and integrate AI tools into the software development lifecycle.

As a Senior Full Stack Engineer, you’ll lead software development, build scalable backend services using Python and AWS, and integrate AI in workflows while mentoring others.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Senior Full Stack Engineer, you will lead the development of scalable backend services, work with serverless architectures and AI tools, and mentor junior engineers. Responsibilities include architectural design, code implementation, and ensuring security and performance best practices are upheld.

As a Senior Full Stack Engineer, you will lead software development from design to deployment, focusing on scalable services using Python and AWS technologies, while integrating AI tools and mentoring younger engineers.

This role involves managing Box's social media presence, driving audience growth, executing paid campaigns, and leading a team to amplify executive voices across platforms.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Computer Vision AI Engineer will develop and maintain computer vision algorithms for various systems, optimizing performance and analytics, specifically involving robots and autonomous hardware.

The VP of Data and AI will define the data ecosystem, manage data ingestion and governance, lead teams, and architect ML foundations.

The Frontend Engineer will lead the development of a web application, focusing on architecture, feature development, and testing, while collaborating with other teams and optimizing performance.